Proceedings of The 7th International Conference on Innovation in Science and Technology
Vehicle’s Fuel Consumption Modelling Under Various Conditions
Tracey Tshivhase, Yasutaka Kainuma
The response surface methodology technique is implemented to get a better response for minimizing fuel consumption. This paper explores external factors that affect fuel consumption while also building a prediction model for various drivers based on driving data. Fuel consumption rate is an important issue which needs addressing if energy management is of concern. This is because of its impact on the environment and also because the amount of fuel in this planet is dwindling. The response surface methodology (RSM) results showed that the performance of a standard engine without any modifications tends to be satisfactory. The aim is to find an area of minimum fuel consumption by modelling a response surface to some preprocessed data. Some of these data were collected by on-board diagnostics units. And, some of these required variables such as the speed and the brake specific fuel consumption (BSFC) were extracted from an engine model that matches a two-litre, four-cylinder engine. The influences of various external factors on consumption are analyzed after the usage of a linear model. We also wanted to model a response surface to find the minimum BSFC.The results from this model can help vehicle drivers’ with the reduction of their fuel consumption’s usage during various external driving conditions.
Keywords: Fuel Consumption, Speed, Energy Management, RSM, BSFC.